Image Feature Extraction in OpenCV: Keypoints and Description Vectors

In the previous post, you learned some basic feature extraction algorithms in OpenCV. The features are extracted in the form of classifying pixels. These indeed abstract the features from images because you do not need to consider the different color channels of each pixel, but to consider a single value. In this post, you will …

Study explores the scaling of deep learning models for chemistry research

Deep neural networks (DNNs) have proved to be highly promising tools for analyzing large amounts of data, which could speed up research in various scientific fields. For instance, over the past few years, some computer scientists have trained models based on these networks to analyze chemical data and identify promising chemicals for various applications.

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Enabling large-scale health studies for the research community

Posted by Chintan Ghate, Software Engineer, and Diana Mincu, Research Engineer, Google Research As consumer technologies like fitness trackers and mobile phones become more widely used for health-related data collection, so does the opportunity to leverage these data pathways to study and advance our understanding of medical conditions. We have previously touched upon how our …

How to implement enterprise resource planning (ERP)

Once your business has decided to switch to an enterprise resource planning (ERP) software system, the next step is to implement ERP. For a business to see the benefits of an ERP adoption it must first be deployed properly and efficiently by a team that typically includes a project manager and department managers as well. …